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This research was conducted at Toko Bangunan Jaya Perkasa. The purpose of this study is to determine whether the internal control system for inventory management in the observed company has been implemented effectively or not. This study uses a qualitative method with data source triangulation techniques, including observation, interviews, and documentation based on data collection and relevant facts. The research informants consisted of seven individuals. The results show that the internal control system at Toko Bangunan Jaya Perkasa has not been implemented optimally, and the inventory management is still vulnerable to risks and potential losses. This is due to the fact that the procedures for purchasing, storing, recording, and selling goods are still conducted manually. The company faces several problems such as stock discrepancies, damaged goods, and obstacles related to suppliers and customers. The suggestions provided include implementing a computerized system for inventory management in the future, conducting regular stock opname to minimize stock discrepancies, improving communication to avoid duplicate stock records, and establishing clear communication and agreements at the beginning of transactions to overcome external constraints.

This study aims to develop a more systematic system for evaluating the performance of Community Health Centers (Puskesmas) based on the Health Center Management cluster. Performance evaluation of Puskesmas plays an important role in improving the quality of public healthcare services, particularly in Sragen Regency. However, the current evaluation process has not been integrated into a computerized system, making it less effective in supporting decision-making. Therefore, this study develops a decision support system by integrating the Analytic Hierarchy Process (AHP) and the *Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods. The AHP method is used to determine the weight of each criterion based on its level of importance, while the TOPSIS method is applied to generate an objective ranking of Puskesmas performance. The results indicate that the system is capable of utilizing nine evaluation criteria to produce a ranking of Puskesmas within the Health Center Management cluster, from the highest to the lowest score. The developed system is expected to support a more effective evaluation process and improve decision-making. Future research may enhance the system by incorporating additional evaluation clusters, expanding the number of assessment criteria, and optimizing its features and security.

Dijkstra's algorithm is one of the algorithms in graph theory that is used to solve the problem of the shortest path of a graph at each vertex that has a non-negative value. This algorithm was discovered by Edsger Wybe Dijkstra, a scientist from the Netherlands. The search for the shortest route for product delivery can be calculated through the application of the Dijkstra algorithm in the problem being faced. The problem of decision making for selecting the shortest route is still manual, so it experiences several obstacles, including the absence of a systematic and computerized system to assist the decision-making process in determining the route for shipping goods, the determination of shipping routes still depends on manual estimates so that the time taken between deliveries becomes inconsistent, the operational costs of shipping are relatively high because there is no optimal route determination system. Facing these problems, a system is needed that can minimize delays and increase effectiveness in shipping goods, namely determining the shortest route using the Dijkstra algorithm. This system works by finding various alternative routes for shipping goods at PT AMSA to address various structured and unstructured problems using data and models. To process this data and models, a method called the Dijkstra algorithm is required. Based on the description above, researchers will create a method for determining the shortest route for shipping goods at PT AMSA using the Dijkstra algorithm to facilitate the company's process of determining the shortest route.

The transition from paper-based to Computer-Based Test (CBT) in the Academic Potential Test (TPA) for state university entrance selections has significantly transformed the educational assessment landscape. This conceptual study aims to evaluate the instruments of CBT-based TPA, focusing on validity, reliability, fairness, and technological infrastructure constraints. Employing a systematic literature review approach, this research synthesizes various foundational theories of educational measurement, specifically Item Response Theory (IRT) and Computerized Adaptive Testing (CAT), alongside contemporary empirical findings from the last five years. The findings indicate that while CBT offers enhanced administrative efficiency and rapid grading, the validity of the instruments is frequently challenged by item exposure and the diverse digital literacy levels of test-takers. Furthermore, infrastructural disparities among regions pose a significant threat to testing fairness. The implication of this study suggests the urgent need for a dynamic item bank generation system and the implementation of adaptive testing to mitigate cheating and ensure equitable assessment. Future educational policies must bridge the digital divide before uniformly mandating CBT. Ultimately, this review provides a comprehensive framework for test developers to refine CBT TPA instruments, ensuring they genuinely measure academic potential rather than technological proficiency.

The development of MSMEs in the traditional food sector requires business actors to increase production capacity. MSME Gethuk Lindri Niki Eco plans to build a larger facility to meet increasing demand. However, the layout planning is still based on rough drawings and experience, which can lead to inefficient material movement. This study aims to provide an overview of recommendations for a more efficient production facility layout using the CRAFT method. The research method involves collecting data on production processes, departmental areas, and material movement frequency. Moreover, an Activity Relationship Chart (ARC) is compiled to identify the close relationships among departments. The results of the analysis are visualized with a Block Plan. Furthermore, the layout is optimized using the CRAFT method. The results show that the recommended layout reduces the total material movement distance from 60.96 meters to 58.19 meters or a reduction of 4.53%. In addition, material handling costs also decreased from Rp. 780.64 to Rp. 766.19 or a savings of 1.85%. Thus, the application of the CRAFT method resulted in a more efficient production layout at the Gethuk Lindri Niki Eco MSME.

This internship report aims to analyze the process of recording and reporting daily teller transactions at the Savings and Loan Cooperative (Koperasi Simpan Pinjam/KSP) Kopdit Tuke Jung. The study focuses on the role of tellers in recording daily financial transactions and preparing transaction reports as the basis for the presentation of cooperative financial statements. The method used is a qualitative descriptive approach with data collection techniques including observation, interviews, and documentation conducted during the internship period. The results of the analysis indicate that daily transaction recording at KSP Kopdit Tuke Jung has been carried out in a computerized manner using the Sikopdit application. Tellers record transactions based on transaction evidence, recap daily transactions, and prepare reports that are then submitted to the bookkeeping department and management. This process is in accordance with the accounting cycle theory, although there are still obstacles such as the potential for data input errors and system disruptions. Therefore, it is necessary to improve teller accuracy and optimize the accounting information system so that the process of recording and reporting daily transactions can run more effectively and accurately.

The rapid development of information technology has provided significant opportunities to improve the efficiency of academic administration in schools. One of the common problems faced by educational institutions is the manual process of subject scheduling, which is time-consuming and prone to schedule conflicts among teachers, classes, and learning time. This problem is also experienced by SMPK Flos Carmeli, where the preparation of subject schedules has not yet been supported by an integrated computerized system. This study aims to design and develop a web-based subject scheduling application at SMPK Flos Carmeli using the Model–View–Controller (MVC) architecture. The research method employed is Research and Development (R&D) with the Waterfall software development model, which includes the stages of requirements analysis, system design, and application implementation. Data were collected through interviews, observations, and literature review to obtain system requirements that align with the school’s conditions. The application was developed using native PHP with the implementation of the MVC pattern to produce a structured, maintainable, and flexible system. The results show that the developed application is able to support the subject scheduling process in a faster, more accurate, and well-organized manner. The system provides features for managing teacher data, class data, time slots, schedule arrangement, and schedule printing, thereby minimizing schedule conflicts and improving the efficiency of school administrative work. Therefore, this subject scheduling application is expected to support the digitalization of academic administration and enhance the effectiveness of the teaching and learning process at SMPK Flos Carmeli.

Pregnancy is a physiological process that occurs in women, approximately 50% of women at the beginning of their pregnancy experience nausea and vomiting to varying degrees. Nausea and vomiting usually occur in the morning during early pregnancy or the first trimester, which is called morning sickness. There are many methods of treating nausea. and vomiting in pregnant women in the first trimester, both pharmacological and non-pharmacological. One non-pharmacological way is to use lemon, lavender and peppermint aromatherapy. This research method uses a literature review which includes a systematic search study of computerized databases (Google School and PubMed) taken within the last 5 years from 2019-2024. The articles obtained in the search were 12 journals, but after reviewing the articles and adjusting them to the titles, there were 5 journals. Conclusion: Lemon and peppermint aromatherapy have the same effectiveness in reducing nausea and vomiting in pregnant women, while lemon aromatherapy is more effective than lavender aromatherapy.

Manual management of sports field bookings is still widely practiced and often leads to scheduling conflicts, data recording errors, and low service efficiency. This study aimed to design and develop a desktop-based sports field booking application that automates the booking process and manages schedules in a structured manner. The research employed a system design and development method using an object-oriented programming (OOP) approach. Data were collected through direct observation of the booking process, interviews with field managers, and documentation of system requirements. The application was developed using the Python programming language with the PyQt5 framework for the graphical user interface and MySQL as the database management system. The results showed that the developed application is capable of managing field data, schedules, bookings, and user information in an integrated manner while reducing recording errors and minimizing scheduling conflicts. The application of OOP resulted in a modular, well-organized, and maintainable system structure. This application is expected to improve the efficiency and accuracy of sports field booking management and provide a practical solution for implementing a computerized booking system.